# agent-baton

> agent-baton — rlasaf12-agent-baton. Use this tool when you need to pass structured context between AI coding agents, such as Claude Code, Cursor, Codex, and Cline, to streamline collaborative coding tasks. The agent-baton tool solves problems of context switching and knowledge sharing between agents, providing a seamless interface for inputting and outputting code context. It is particularly useful in git-based development workflows, where live dashboard visibility and MCP server connectivity enable efficient agent collaboration.

Canonical page: https://skillsregistry.net/skills/rlasaf12-agent-baton  
JSON: https://api.skillsregistry.net/v1/skills/rlasaf12-agent-baton

## Description

Pass structured context between AI coding agents (Claude Code, Cursor, Codex, Cline) — MCP server + live dashboard

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/RLASAF12/agent-baton)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rlasaf12-agent-baton"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rlasaf12-agent-baton` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rlasaf12-agent-baton/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt